CareerPlan

Analytics Engineer (m/w/d),Erfurt,Frankfurt am Main

Erfurt, THUERINGENFull-time2026-10-26 → 2026-11-11
Hybrid

Core

Integrate diverse data sources into a consistent Enterprise Data Model, define KPIs, and build automated reporting and monitoring for Finance and Management.

Role type

Senior Analytics Engineer (Finance/Controlling)

Builds

Enterprise Data Model, Semantic Layer, automated checks, and self-service reports

Domain

Healthcare (Medical Services) + Finance/Controlling

Deliverable

production ML models | dashboards & analysis

Required skills

SQL, dbt, data modeling, KPI definition, data quality measurement, project management, stakeholder communication

Preferred skills

Qlik, Python, Airflow, AI/Text-to-SQL, DATEV, healthcare billing knowledge

Technologies

dbt, Qlik, Python, Airflow, Git, LucaNet, Agicap

Responsibilities

Connect various systems and master data into a unified Enterprise Data Model; Define and document KPI calculation rules; Validate evaluations and moderate definitions across departments; Build automated data checks and monitoring; Develop reports and self-service offerings; Prioritize requirements in the Data Roadmap and manage external service providers.

Seniority

Senior, hands-on IC